Evidence map›Paper›PMID 33437114›Full record

ArticleJournal of rural studies2021

Association between mental health and community support in lockdown communities during the COVID-19 pandemic: Evidence from rural China.

Ziyu Jia, Shijia Xu, Zican Zhang, Zhengyu Cheng, Haoqing Han, Haoxiang Xu, Mingtian Wang, Hong Zhang, Yi Zhou, Zhengxu Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of rural studies, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Research Progress and Improvement Ideas of Anti-Epidemic Resilience in China's Urban Communities.International journal of environmental research and public health · 2022
    Review
  18. Review
  19. Mental Health and Substance Use of Farmers in Canada during COVID-19.International journal of environmental research and public health · 2022
    Article
  20. A Scoping Review on Biopsychosocial Predictors of Mental Health among Older Adults.International journal of environmental research and public health · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Ziyu JiaSchool of Architecture, Tsinghua University, Beijing, China.
Shijia XuSchool of Landscape Architecture, Beijing Forestry University, Beijing, China.
Zican ZhangSchool of Landscape Architecture, Beijing Forestry University, Beijing, China.
Zhengyu ChengSchool of Architecture, Tsinghua University, Beijing, China.
Haoqing HanSchool of Architecture, Tsinghua University, Beijing, China.
Haoxiang XuChina Architecture Design & Research Group, Beijing, China.
Mingtian WangChina Architecture Design & Research Group, Beijing, China.
Hong ZhangSchool of Architecture, Tsinghua University, Beijing, China.
Yi ZhouGuanghua School of Management & Center for Social Research, Peking University, Beijing, China.
Zhengxu ZhouSchool of Architecture, Tsinghua University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Governments worldwide have taken unprecedented social distancing and community lockdown measures to halt the COVID-19 epidemic, leaving millions of people restrained in locked-down communities and their mental well-being at risk. This study examines Chinese rural residents' mental health risk under emergency lockdown during the COVID-19 pandemic. It investigates how the environmental, socioeconomic, and behavioral dimensions of community support affect mental health in this emergency context. We also explore whether community support's effectiveness depends on the strictness of lockdown measures implemented and the level of individual perceived COVID-19 infection risk. We collect self-reported mental health risk, community support, and demographics information through a cross-sectional survey of 3892 Chinese rural residents living in small towns and villages. Ordinary least square regressions are employed to estimate the psychological effects of community support. The results suggest that the COVID-19 epidemic and lockdown policies negatively affect psychological well-being, especially for rural females. The capacity for community production has the largest impact on reducing mental health risks, followed by the stability of basic medical services, community cohesion, housing condition, the stability of communications and transportation supply, and the eco-environment. The effectiveness of different community support dimensions depends on the level of lockdown policy implemented and the levels of one's perceived risk of COVID-19 infection. Our study stresses the psychological significance of a healthy living environment, resilient infrastructure and public service system, and community production capacity during the lockdown in rural towns and villages.

Indexed as

Community supportCOVID-19 pandemicLiving environmentLockdownMental healthPsychological well-being

Identifiers

PMID33437114
PMCPMC7792503

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.